⚡JKL — CS2 Stats

US76561198367791981[U:1:407526253]Steam profile ↗✓ No bans

2,212Tracked matches41%Win rate2020Tracked since

CSDB Rating6.5 SolidAggressive Rifler

FaceitLevel 10 · 2,731 ELOTop 12.4% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim88

Positioning61

Utility58

0–100 skill scores via Leetify.

Recent form

STEADY42–56–2Last 10042%Win rateLWLLWLLWWW

Last 10 vs previous 10: +20pp win rate · -0.01 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim8.8

Aggression6.7

Utility5.8

Positioning6.1

Opening Duels2.3

Clutch3.6

Sharp aimerStrong CT-side opener

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

Plays most like NiKo 94% playstyle similarity

Most alike: positioning profile, opening-duel success.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Strengths

Aim. Aim score of 88 — the mechanical foundation is a clear strength.

Areas to improve

T-side openings. Opening success drops from 51% on CT to 28% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 587ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim8.8

Positioning6.1

Utility5.8

Mechanics7.6

Opening Duels2.6

Win Impact2.1

Composite 6.5/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.02

first ⅓ avg 0.03 → last ⅓ avg 0.01

Reaction time569ms−15ms

first ⅓ avg 584ms → last ⅓ avg 569ms

Headshot accuracy28.5%−6.1%

first ⅓ avg 34.6% → last ⅓ avg 28.5%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Highlights

0.19Best rating — inferno 13–7

13–0Biggest win — inferno

4Longest win streak

7–10In matches decided by ≤2 rounds

8Overtime games

Map breakdown

ancientBest map · 59% over 17nukeWeakest map · 19% over 16

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	27	12–15	44%	0.01
ancient	A	17	10–7	59%	0.03
nuke	D	16	3–13	19%	-0.01
inferno	B	12	6–6	50%	0.03
dust2	C	12	5–7	42%	0.02
anubis	C	7	3–4	43%	0.03
overpass	D	7	2–5	29%	-0.01
train	—	2	1–1	50%	-0.04

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (19% over 16). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,991Matches

51%Win rate

1.24Avg K/D

78.0ADR

53%Headshot %

Clutches & streaks

38%1v1 clutch win

22%1v2 clutch win

8Longest win streak

Recent Faceit resultsWLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	339	47%	1.13	15.9
Ancient	322	56%	1.27	16.4
Anubis	193	48%	1.25	16.7
Nuke	178	53%	1.20	16.2
Inferno	120	53%	1.22	16.1
Vertigo	80	61%	1.20	17.1
Dust2	68	32%	1.02	15.2
Overpass	29	41%	0.97	14.2

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

29.4%Headshot accuracy

35.6%Accuracy (enemy spotted)

38.9%Spray accuracy

84.1%Counter-strafing

8.7°Preaim

587msReaction time

27.6%T opening success

50.5%CT opening success

0.60Enemies flashed / flash

11.2%Flash assists

11.09HE damage / grenade

8.81Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.

Advanced Mechanics
You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.
T opening duels 27.5543% — below the 40% mark we flag

Spend your practice time on Nuke

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

19% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
anubis	10–13	-0.03	31%	27 Aug →
mirage	13–8	0.03	29%	25 Aug →
mirage	13–16	-0.05	16%	24 Aug →
mirage	7–13	-0.00	25%	16 Aug →
mirage	13–10	0.03	38%	15 Aug →
nuke	10–13	0.03	26%	13 Aug →
anubis	9–13	-0.01	11%	5 Aug →
anubis	13–10	0.06	20%	3 Aug →
ancient	13–7	0.02	28%	3 Aug →
inferno	13–11	-0.00	27%	1 Aug →
inferno	13–0	0.16	56%	31 Jul →
mirage	5–13	0.01	21%	29 Jul →
mirage	13–4	0.08	27%	25 Jul →
inferno	9–13	-0.02	38%	24 May →
nuke	7–13	-0.05	34%	15 May →
nuke	4–13	0.00	26%	13 May →
nuke	7–13	-0.01	32%	27 Apr →
mirage	13–8	0.03	38%	27 Apr →
nuke	2–13	-0.08	32%	25 Apr →
mirage	10–13	-0.00	32%	24 Apr →
nuke	10–13	-0.03	33%	22 Apr →
inferno	13–6	0.10	36%	12 Apr →
inferno	11–13	-0.04	46%	27 Mar →
ancient	13–7	0.01	12%	25 Feb →
nuke	11–13	0.06	18%	22 Feb →
overpass	11–13	-0.01	42%	22 Feb →
overpass	4–13	-0.02	22%	21 Feb →
mirage	13–7	0.04	24%	18 Feb →
ancient	13–9	0.02	30%	16 Feb →
mirage	12–12	0.02	39%	15 Feb →
mirage	6–13	-0.04	24%	15 Feb →
anubis	10–13	0.03	27%	14 Feb →
dust2	0–3	0.00	0%	13 Feb →
ancient	9–13	0.05	23%	13 Feb →
mirage	13–11	-0.03	13%	12 Feb →
inferno	11–13	-0.03	41%	8 Feb →
ancient	13–5	0.06	18%	6 Feb →
mirage	13–7	0.03	31%	4 Feb →
dust2	14–16	-0.00	18%	28 Jan →
anubis	13–9	0.08	24%	21 Jan →
inferno	12–16	-0.04	27%	17 Jan →
anubis	9–13	0.02	26%	16 Jan →
nuke	7–13	-0.01	38%	14 Jan →
nuke	17–19	0.01	30%	11 Jan →
dust2	7–13	-0.00	37%	2 Jan →
mirage	13–5	-0.02	28%	19 Dec →
mirage	11–13	0.03	22%	14 Dec →
nuke	9–1	0.10	39%	12 Dec →
mirage	9–13	-0.05	35%	12 Dec →
dust2	13–5	0.04	35%	9 Dec →
inferno	5–13	-0.04	45%	25 Nov →
mirage	13–8	0.08	26%	25 Nov →
ancient	7–13	-0.07	60%	24 Oct →
mirage	14–16	0.06	36%	12 Oct →
inferno	16–14	-0.01	37%	7 Oct →
nuke	13–8	0.06	55%	6 Oct →
nuke	10–13	-0.05	23%	2 Oct →
nuke	3–13	-0.03	28%	30 Sept →
mirage	6–13	-0.10	18%	30 Sept →
mirage	2–13	-0.02	20%	29 Sept →
train	3–13	-0.08	30%	28 Sept →
nuke	7–13	-0.07	19%	26 Sept →
train	13–9	0.00	27%	24 Sept →
dust2	9–13	-0.02	24%	23 Sept →
ancient	13–10	-0.01	41%	23 Sept →
dust2	10–13	-0.02	64%	23 Sept →
mirage	13–11	0.02	28%	23 Sept →
nuke	13–9	0.00	36%	19 Sept →
dust2	7–13	-0.03	32%	18 Sept →
ancient	13–4	0.02	26%	17 Sept →
dust2	13–10	0.04	51%	14 Sept →
dust2	13–4	0.08	19%	14 Sept →
mirage	8–13	0.05	33%	3 Sept →
mirage	15–15	-0.00	57%	30 Aug →
ancient	8–13	-0.01	28%	29 Aug →
ancient	13–5	0.05	30%	29 Aug →
overpass	9–13	-0.04	37%	26 Aug →
inferno	13–7	0.19	36%	26 Aug →
ancient	13–9	0.05	32%	22 Aug →
inferno	13–10	0.03	33%	22 Aug →
ancient	11–13	0.05	48%	21 Aug →
inferno	4–13	0.04	35%	14 Aug →
mirage	11–13	0.03	35%	14 Aug →
ancient	5–13	0.01	30%	14 Aug →
ancient	10–13	0.04	21%	5 Aug →
overpass	13–11	0.06	29%	5 Aug →
mirage	13–8	0.06	31%	5 Aug →
mirage	16–12	0.03	23%	3 Aug →
dust2	13–11	0.12	31%	3 Aug →
mirage	9–13	0.04	41%	1 Aug →
overpass	9–13	-0.02	38%	1 Aug →
dust2	13–3	0.10	75%	1 Aug →
overpass	9–13	-0.04	27%	31 Jul →
overpass	13–1	0.01	30%	29 Jul →
ancient	13–8	0.08	31%	4 Jul →
dust2	5–13	-0.03	33%	28 Jun →
anubis	13–7	0.03	50%	28 Jun →
nuke	3–13	-0.03	30%	28 Jun →
ancient	9–13	0.07	26%	27 Jun →
ancient	13–11	0.05	26%	24 Jun →